mirror of
https://github.com/Mintplex-Labs/langchain-python.git
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minhajul-clarifai
6e57306a13
# Changes This PR adds [Clarifai](https://www.clarifai.com/) integration to Langchain. Clarifai is an end-to-end AI Platform. Clarifai offers user the ability to use many types of LLM (OpenAI, cohere, ect and other open source models). As well, a clarifai app can be treated as a vector database to upload and retrieve data. The integrations includes: - Clarifai LLM integration: Clarifai supports many types of language model that users can utilize for their application - Clarifai VectorDB: A Clarifai application can hold data and embeddings. You can run semantic search with the embeddings #### Before submitting - [x] Added integration test for LLM - [x] Added integration test for VectorDB - [x] Added notebook for LLM - [x] Added notebook for VectorDB Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
"""Wrappers on top of vector stores."""
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from langchain.vectorstores.alibabacloud_opensearch import (
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AlibabaCloudOpenSearch,
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AlibabaCloudOpenSearchSettings,
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)
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from langchain.vectorstores.analyticdb import AnalyticDB
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from langchain.vectorstores.annoy import Annoy
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from langchain.vectorstores.atlas import AtlasDB
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from langchain.vectorstores.awadb import AwaDB
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from langchain.vectorstores.azuresearch import AzureSearch
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from langchain.vectorstores.base import VectorStore
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from langchain.vectorstores.cassandra import Cassandra
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from langchain.vectorstores.chroma import Chroma
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from langchain.vectorstores.clarifai import Clarifai
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from langchain.vectorstores.clickhouse import Clickhouse, ClickhouseSettings
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from langchain.vectorstores.deeplake import DeepLake
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from langchain.vectorstores.docarray import DocArrayHnswSearch, DocArrayInMemorySearch
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from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch
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from langchain.vectorstores.faiss import FAISS
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from langchain.vectorstores.hologres import Hologres
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from langchain.vectorstores.lancedb import LanceDB
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from langchain.vectorstores.matching_engine import MatchingEngine
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from langchain.vectorstores.milvus import Milvus
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from langchain.vectorstores.mongodb_atlas import MongoDBAtlasVectorSearch
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from langchain.vectorstores.myscale import MyScale, MyScaleSettings
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from langchain.vectorstores.opensearch_vector_search import OpenSearchVectorSearch
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from langchain.vectorstores.pinecone import Pinecone
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from langchain.vectorstores.qdrant import Qdrant
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from langchain.vectorstores.redis import Redis
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from langchain.vectorstores.rocksetdb import Rockset
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from langchain.vectorstores.singlestoredb import SingleStoreDB
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from langchain.vectorstores.sklearn import SKLearnVectorStore
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from langchain.vectorstores.starrocks import StarRocks
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from langchain.vectorstores.supabase import SupabaseVectorStore
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from langchain.vectorstores.tair import Tair
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from langchain.vectorstores.tigris import Tigris
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from langchain.vectorstores.typesense import Typesense
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from langchain.vectorstores.vectara import Vectara
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from langchain.vectorstores.weaviate import Weaviate
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from langchain.vectorstores.zilliz import Zilliz
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__all__ = [
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"AlibabaCloudOpenSearch",
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"AlibabaCloudOpenSearchSettings",
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"AnalyticDB",
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"Annoy",
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"AtlasDB",
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"AwaDB",
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"AzureSearch",
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"Cassandra",
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"Chroma",
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"Clickhouse",
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"ClickhouseSettings",
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"DeepLake",
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"DocArrayHnswSearch",
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"DocArrayInMemorySearch",
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"ElasticVectorSearch",
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"FAISS",
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"Hologres",
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"LanceDB",
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"MatchingEngine",
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"Milvus",
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"Zilliz",
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"SingleStoreDB",
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"Chroma",
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"Clarifai",
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"OpenSearchVectorSearch",
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"AtlasDB",
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"DeepLake",
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"Annoy",
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"MongoDBAtlasVectorSearch",
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"MyScale",
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"MyScaleSettings",
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"OpenSearchVectorSearch",
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"Pinecone",
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"Qdrant",
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"Redis",
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"Rockset",
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"SKLearnVectorStore",
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"SingleStoreDB",
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"StarRocks",
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"SupabaseVectorStore",
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"Tair",
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"Tigris",
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"Typesense",
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"Vectara",
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"VectorStore",
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"Weaviate",
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"Zilliz",
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]
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